Malik, Saif U.R., Akram, Hina, Gill, Sukhpal Singh, Pervaiz, Haris and Malik, Hassan (2021) EFFORT: Energy efficient framework for offload communication in mobile cloud computing:Energy efficient framework for offload communication in mobile cloud computing. Software - Practice and Experience, 51 (9). pp. 1896-1909. ISSN 0038-0644
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Abstract
There is an abundant expansion in the race of technology, specifically in the production of data, because of the smart devices, such as mobile phones, smart cards, sensors, and Internet of Things (IoT). Smart phones and devices have undergone an enormous evolution in a way that they can be used. More and more new applications, such as face recognition, augmented reality, online interactive gaming, and natural language processing are emerging and attracting the users. Such applications are generally data intensive or compute intensive, which demands high resource and energy consumption. Mobile devices are known for the resource scarcity, having limited computational power and battery life. The tension between compute/data intensive application and resource constrained mobile devices hinders the successful adaption of emerging paradigms. In the said perspective, the objective of this article is to study the role of computation offloading in mobile cloud computing to supplement mobile platforms ability in executing complex applications. This article proposes a systematic approach (EFFORT) for offload communication in the cloud. The proposed approach provides a promising solution to partially solve energy consumption issue for communication-intensive applications in a smartphone. The experimental study shows that our proposed approach outperforms its counterparts in terms of energy consumption and fast processing of smartphone devices. The battery consumption was reduced to 19% and the data usage was reduced to 16%.
Item Type: | Article |
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Additional Information: | We would like to thank the editor, area editor, and anonymous reviewers for their valuable comments and suggestions to help and improve our research article. |
Uncontrolled Keywords: | cloud computing,cloud service providers,energy consumption,internet spoofing,iot,offload communication,software,sdg 7 - affordable and clean energy ,/dk/atira/pure/subjectarea/asjc/1700/1712 |
Faculty \ School: | Faculty of Science > School of Computing Sciences |
Related URLs: | |
Depositing User: | LivePure Connector |
Date Deposited: | 07 Jul 2025 09:30 |
Last Modified: | 14 Jul 2025 12:33 |
URI: | https://ueaeprints.uea.ac.uk/id/eprint/99838 |
DOI: | 10.1002/spe.2850 |
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